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What to Bring? — Item Suggestions with Collaborative Filtering

What to Bring? — Item Suggestions with Collaborative Filtering Personalized item suggestions with actual data for a real case Item Suggestions (image by author) A birthday party, a trip together, or the summer gathering with one’s local sports club – events like these are

Attention from Alignment, Practically Explained

Learn from what matters, Ignore what doesn’t. Photo by Armand Khoury on Unsplash Attention, as popularized by the landmark paper Attention Is All You Need (2017), is arguably the most important architectural trend in machine learning right now. Originally intended for sequence

Coding was Hard Until I Learned These 2 Things!

Here’s what helped me go from “aspiring programmer” to actually landing a job in the field. Continue reading on Towards Data Science »

Combining Open Street Map and Landsat open data to verify areas of green zones

Quick and simple analysis for precise assessment Preview image (by author) Today we would like to talk about the benefits of combining spatial data from various open data sources. For example, we will consider the following task: evaluating whether a particular

How to Create Your Own AI Weather Forecast

Using pre-trained models and reanalysis data Continue reading on Towards Data Science »

SHAP vs. ALE for Feature Interactions: Understanding Conflicting Results

Model Explainers Don’t Produce Explanations Continue reading on Towards Data Science »

Condition-based Maintenance: Rainflow Counting

Analyzing thermal cycles for Remaining Useful Lifetime predictions Image by Author using this tool under CreativeML Open RAIL-M license. Introduction In today’s data-driven world, businesses are increasingly turning to technology to optimize their operations and reduce downtime. Be it power supplies,

Urban Accessibility — How to Reach Defibrillators on Time

Image by the author. Urban Accessibility — How to Reach Defibrillators on Time In this piece, I combine earlier work on urban accessibility or walkability with open-source data on the location of public defibrillator devices. Additionally, I incorporate global population data and Uber’s H3

Correct Sampling Bias for Recommender Systems

What is sampling bias in recommendation, and how to correct them Continue reading on Towards Data Science »

Genius Cliques: Mapping out the Nobel Network

The network of Nobel laureates. Image by the author. Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates. This piece was originally published in the second issue of Nightingale, the printed magazine of the